TGDOF
This is the testing code of TGDOF for CS-MRI.
Running the script "AddPath" and then the "Demo_TGDOF" to test the basic deep framework for CS-MRI.
TestData
The testing MR slices used in experiments, including 25 T1-weighted data and 25 T2-weighted data. The slices are extracted from the subset of the IXI datasets: http://brain-development.org/ixi-dataset/
ArtifactsModel
The pre-trained model used in Module \mathcal{N}.
SamplingPatter:
The three kinds of sampling patterns at five different sampling ratios (10% to 50%).
If you utilize this code, please cite the related paper:
@inproceedings{liu2019theoretically,
title={A theoretically guaranteed deep optimization framework for robust compressive sensing mri},
author={Liu, Risheng and Zhang, Yuxi and Cheng, Shichao and Fan, Xin and Luo, Zhongxuan},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={33},
pages={4368--4375},
year={2019}
}